Examples & Tutorials
The RAG Workbench Cookbook features examples and tutorials contributed by our team, community, and partners. If you have examples showcasing RAG Workbench, feel free to share them by submitting a PR to our Github repo.
Check out our collection of step-by-step guides that cover essential concepts and features of RAG Workbench:
- Getting Started
- Integrate Real-Time User Feedback
- Hyperparameter Optimization
- Evaluation Metrics
- Distributed Tracing
- Demo: Evaluate LLM-generated PR Titles
Framework-Specific Tutorials
Explore our easy-to-follow guides for popular frameworks like OpenAI, LlamaIndex, LangChain, and more. These examples come with pre-configured auto-instrumentation, eliminating the need for manual tracing of your RAG system:
We value your feedback and are here to help you with any questions or issues you may encounter while using RAG Workbench or following the tutorials in this cookbook. If you have any suggestions, questions, or need assistance, please don't hesitate to reach out to us on Discord.